SPLIF-Enhanced Attention-Driven 3D CNNs for Precise and Reliable Protein–Ligand Interaction Modeling for METTL3
Saved in:
| Main Authors: | Muhammad Junaid, Muhammad Zeeshan, Abbas Khan, Fahad M. Alshabrmi, Wenjin Li |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
American Chemical Society
2025-04-01
|
| Series: | ACS Omega |
| Online Access: | https://doi.org/10.1021/acsomega.5c00538 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Reliable Indoor Fire Detection Using Attention-Based 3D CNNs: A Fire Safety Engineering Perspective
by: Mostafa M. E. H. Ali, et al.
Published: (2025-07-01) -
Attentive Convolution: Equipping CNNs with RNN-style Attention Mechanisms
by: Wenpeng Yin, et al.
Published: (2021-03-01) -
A Novel Mixed-Precision Quantization Approach for CNNs
by: Dan Wu, et al.
Published: (2025-01-01) -
Dual-Attention-Based Enhanced Unified Net for Precise GTV Segmentation of Nasopharyngeal Carcinoma in 3D MR Images
by: Hassan Ali Khan, et al.
Published: (2025-01-01) -
Roles of METTL3 and NLRP3 in pyroptosis and prospects in SCIRI
by: Xiaoqing Guan, et al.
Published: (2025-04-01)